Big business process and data management


Forrester Research first coined the phrase “big data process” in August 2011 to describe the shift from a fragmented,  siloed approach to business process management (BPM) to a more holistic approach that stitches all the pieces of a process together, across an enterprise, to drive enterprise transformation.

The parallels between their recommendations and those of leading data management experts are no coincidence. The findings yet again emphasize the relationships between data and business process.

Both big process and data management must be driven by business stakeholders. IT simply does not have the mandate to achieve the cultural shifts necessary to really drive either process changes or to embed data quality as a fundamental principle in the business.

The most recent discussion uses the four C’s to highlight the relationship between data and process.

1.) Customer data is hidden inside “oceans of operational data” that must be mined and cleaned in order to improve the customer experience and underlying business process.

2.) Chaotic business processes can only be resolved with a better understanding of the relationships between process and data.

3.) Context of information is critical. The relationships between business events, operational data, and operational performance are frequently misunderstood leading to lost revenue, unnecessary costs and significant operational risk.

4.) The shift to Cloud architecture frequently overlooks the need to maintain data relationships across a fragmented value stream.

All of these examples are also key drivers for data governance, and critical success factors for large IT projects such as MDM and ERP implementations.

We will be presenting an approach to address these issues through Process driven data governance and MDM, at the Process Forum, on 6 June 2012, in Johannesburg.  For more information, or to register for this event, click here.

This post was originally published on the dataqualitymatters blog

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